At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world's trusted infrastructure consulting firm, partnering with clients to solve the world's most complex challenges and build legacies for future generations. With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world. Job DescriptionIn AECOM's AI for Engineering team your code will directly shape the physical world around us. We build AI-driven technology that revolutionises how infrastructure and buildings are designed and engineered, reducing waste, cutting CO2, and making the built environment more efficient and sustainable. This is where software has measurable, real-world impact. Our AI for Engineering team has a unique setup: a lean, highly technical team with the speed and ownership of a start-up, backed by the scale, resources, and domain expertise of one of the world's leading engineering firms. There has never been a better time to be at AECOM. We are leading the industry's AI transformation, and with our people and technology we deliver excellence and innovate with impact. What You'll DoAs Lead MLOps Engineer, you will be the technical lead for how machine learning moves from experimentation into reliable, scalable production across AI for Engineering. You will own the MLOps technical direction and platform roadmap, raise the bar for engineering practice across the team, and build the most critical parts of the stack yourself. You will be the go-to technical authority for production ML infrastructure and a trusted partner to engineering leadership. Define and drive the MLOps technical vision, platform roadmap and engineering standards across AI for EngineeringProvide technical leadership and mentoring to engineers through design reviews, code reviews, pairing and knowledge sharingArchitect and own production ML infrastructure for training, deployment, serving and monitoring at scaleSet the standards for CI/CD, automation, model delivery and ML lifecycle management used across all teamsStay hands-on, building Python services, APIs and platform tooling that support production ML workloadsOwn reliability, observability, performance, availability, security and cost across production ML systems, including SLOs, incident response and on-call practicesLead the technical response to complex production issues across software, infrastructure and ML workflows, and turn the lessons into lasting platform improvementsMake and communicate key architecture and build-vs-buy decisions, aligning ML engineers, data engineers, product teams and leadership on priorities and trade-offsHelp shape engineering culture, best practices and technical hiring as the team scalesQualificationsMust-Have QualificationsBachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent experience)Significant experience deploying, operating, monitoring and supporting machine learning systems in production, including ownership of an ML platform or major MLOps capabilityProven experience as a technical lead or in a senior/staff-level role, setting technical direction and influencing engineers without relying on formal authorityDeep experience designing and owning ML pipelines, model deployment, serving, monitoring and lifecycle infrastructureStrong Python skills, plus experience with web frameworks such as FastAPI, Flask or DjangoExtensive hands-on experience with Docker, CI/CD pipelines and cloud environments (we use Azure)A track record of making architecture decisions and running complex production systems for reliability, scalability and performanceExperience defining engineering standards, best practices and operational processes adopted across teamsExcellent communication and stakeholder management skills, with the ability to influence technical and non-technical audiencesA collaborative style that brings out the best in others and builds a high-ownership engineering culturePreferred SkillsExpertise with Kubernetes and infrastructure as code, such as TerraformExperience with ML lifecycle tooling such as MLflow, Weights & Biases or similar platformsKnowledge of monitoring and observability tools such as Prometheus, Grafana, ELK or OpenTelemetryExperience with distributed ML workloads, model serving, GPU infrastructure, performance tuning and cloud cost optimisationExperience with LLMOps and serving generative AI models in productionBackground in reinforcement learning, optimisation or generative AIExperience building an MLOps platform or capability from an early stageAdditional InformationOur Hiring Process25-minute screening callCombined technical and cultural interview (in-person)Whiteboard Interview: 1-hour with 2 of our engineers to discuss your solution to the take-home challengeCulture fit: 30-minute meeting with our leadership teamWhy Join Us? Work on real-world problems where AI creates measurable impact. To support this commitment, all newly hired employees are required to attend an in-person Day 1 onboarding at an AECOM office location as a condition of employment. Depending on your employment status, AECOM benefits may include medical, dental, vision, life, AD&D, disability benefits, paid time off, leaves of absences, voluntary benefits, perks, flexible work options, well-being resources, employee assistance program, business travel insurance, service recognition awards, retirement savings plan, and employee stock purchase plan. As a trusted professional services firm powered by deep technical abilities, we solve our clients' complex challenges in water, environment, energy, transportation and buildings. Our teams partner with public- and private-sector clients to create innovative, sustainable and resilient solutions throughout the project lifecycle — from advisory, planning, design and engineering to program and construction management. Work on groundbreaking projects—both in your local community and on a global scale—that are transforming our industry and shaping the future. With cutting-edge technology and a network of experts, you'll have the resources to make a real impact. Our award-winning training and development programs are designed to expand your technical expertise and leadership skills, helping you build the career you've always envisioned. Here, you'll find a welcoming workplace built on respect, collaboration and community—where you have the freedom to grow in a world of opportunity. We are a Disability Confident Employer and will offer an interview to applicants who have a disability or long-term condition, who meet the minimum/essential criteria for the role. com if you would like to apply through the Disability Confident Interview Scheme.
Engineer lead in London employer: AECOM
At AECOM, we pride ourselves on being an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration. Our commitment to employee growth is evident through our extensive career development opportunities, flexible hybrid working model, and a culture that values diversity and inclusion. Join us in the South East, where you can make a meaningful impact on transport planning while enjoying a range of personalised benefits tailored to support your well-being and professional aspirations.
